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Event-triggered logical flow control for comprehensive process integration of multi-step assays on centrifugal microfluidic platforms

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
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Title
Event-triggered logical flow control for comprehensive process integration of multi-step assays on centrifugal microfluidic platforms
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
DOI 10.1039/c4lc00380b
Pubmed ID
Authors

David J. Kinahan, Sinéad M. Kearney, Nikolay Dimov, Macdara T. Glynn, Jens Ducrée

Abstract

The centrifugal "lab-on-a-disc" concept has proven to have great potential for process integration of bioanalytical assays, in particular where ease-of-use, ruggedness, portability, fast turn-around time and cost efficiency are of paramount importance. Yet, as all liquids residing on the disc are exposed to the same centrifugal field, an inherent challenge of these systems remains the automation of multi-step, multi-liquid sample processing and subsequent detection. In order to orchestrate the underlying bioanalytical protocols, an ample palette of rotationally and externally actuated valving schemes has been developed. While excelling with the level of flow control, externally actuated valves require interaction with peripheral instrumentation, thus compromising the conceptual simplicity of the centrifugal platform. In turn, for rotationally controlled schemes, such as common capillary burst valves, typical manufacturing tolerances tend to limit the number of consecutive laboratory unit operations (LUOs) that can be automated on a single disc. In this paper, a major advancement on recently established dissolvable film (DF) valving is presented; for the very first time, a liquid handling sequence can be controlled in response to completion of preceding liquid transfer event, i.e. completely independent of external stimulus or changes in speed of disc rotation. The basic, event-triggered valve configuration is further adapted to leverage conditional, large-scale process integration. First, we demonstrate a fluidic network on a disc encompassing 10 discrete valving steps including logical relationships such as an AND-conditional as well as serial and parallel flow control. Then we present a disc which is capable of implementing common laboratory unit operations such as metering and selective routing of flows. Finally, as a pilot study, these functions are integrated on a single disc to automate a common, multi-step lab protocol for the extraction of total RNA from mammalian cell homogenate.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Ireland 1 1%
Austria 1 1%
Canada 1 1%
Unknown 92 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 25%
Student > Master 16 17%
Student > Bachelor 15 16%
Researcher 13 14%
Student > Doctoral Student 11 11%
Other 6 6%
Unknown 11 11%
Readers by discipline Count As %
Engineering 38 40%
Physics and Astronomy 16 17%
Agricultural and Biological Sciences 9 9%
Chemistry 7 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 4 4%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2014.
All research outputs
#20,970,494
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#5,022
of 5,997 outputs
Outputs of similar age
#245,443
of 321,307 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#276
of 358 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,997 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.